268 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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- York St John University;
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and skills in a relevant area, such as single-unit recording Experience with data handling and/or programming Experience in carrying out both independent and collaborative research A developing body of
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function methodologies, coordinating experimental and analytical work, and contributing to international collaborations with leading partner sites. Main Duties Design, plan, and deliver high-quality research
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effectively. Understanding of and ability to contribute to broader management/administration processes. Contribute to the planning and organising of the research programme and/or specific research project. Co
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validity. Through doing this we will also better understand what we are doing well and be able to strategically plan how to push ourselves to do better in the future. York St John’s approach to this is being
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to 16%. 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Back-up care for dependents. Childcare support
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modelling, programming, and handling large datasets Prior experience in machine learning is desirable Interest in nonlinear dynamics and complex systems Motivation to contribute to key scientific questions
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presentations. Ability to lead research projects and proposals, supervise others and identify sources of funding and secure funding. Attention to detail, ability to plan and prioritise work and work proactively
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communication Knowledge and experience in programming software defined radios such as ADALM-PLUTO Measurement of antennas in an anechoic chamber Experience of taking part in propagation measurement campaigns What
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programs that govern these processes. The lab focuses on fundamental questions surrounding cancer growth initiation, both at primary sites and during metastatic seeding at secondary locations. We
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programming skills (C++, R, Python, or similar). Experience working with large or longitudinal datasets. The ability to translate complex model outputs into actionable policy insights. Curiosity, independence